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Customer case study · AI Agents

Government Document Search system

Building approvals checked against the regulations, with the evidence attached.

Customer Dubai Ministry of Interior

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Two ministry reviewers at a desk of building drawings and regulation volumes, reading an AI document verification screen that marks a submission code compliant and lists its source references, with the Dubai skyline behind

The problem

The Ministry of Interior receives a high volume of building drawings, technical specifications, permits, and supporting documents for approval. Manual review required specialist staff to compare each submission against building codes, safety requirements, and approval rules. Limited reviewer capacity, complex document sets, long evaluation cycles, and human error caused approval decisions to take several months — delaying construction projects, applicants, and government operations.

The solution

Ayonix implemented an AI-powered drawing and document verification system using Retrieval-Augmented Generation (RAG) technology.

  • Ingests building drawings, specifications, application forms, and supporting documents.
  • Compares submitted information against approved building regulations, technical standards, planning rules, and internal Ministry guidelines.
  • Identifies missing documents, inconsistent data, potential non-compliance, and clauses requiring expert review.
  • Generates an instant, structured verification report with evidence references to the relevant drawing, document page, regulation, or requirement.
  • Classifies each application into clear decision pathways: Approval for a compliant submission; Conditional or Partial Approval where minor modifications or additional information are required; Rejection on material non-compliance or insufficient documentation; and Expert Review Required for complex, low-confidence, or exceptional cases routed to authorized staff.
  • Provides a reviewer dashboard for human validation, comments, decision overrides, full audit logs, and case-status tracking.

What we brought

  • Retrieval-augmented generation
  • Drawing and document ingestion
  • Regulation-grounded checks
  • Reviewer dashboard

How we solved it

  1. Ingest
  2. Compare
  3. Flag
  4. Classify
  5. Review

Outcome

  • Reduced initial application evaluation from several months to several hours.
  • Increased review capacity without requiring proportional growth in government staff.
  • Faster feedback to architects, developers, and applicants on required corrections.
  • Higher consistency and accuracy through regulation-grounded, evidence-based verification.
  • Reduced human error in repetitive document and drawing checks.
  • Enables government specialists to focus on complex, exceptional, and high-risk applications.
  • Creates auditable approval records with clear evidence, reviewer actions, and final decisions.

Technology: AI Agents

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